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Raff VS Google Compute Engine

Compare Raff VS Google Compute Engine and see what are their differences

Raff

A simple, reliable cloud platform for VMs, Kubernetes, databases, and storage.

Rating
0 reviews
Pricing
Paid Free trial $3.49 / Monthly (1 vCPU - 1 GB Cloud VPS)
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Alternatives Is it good?
Google Compute Engine

Google Compute Engine is not just fast. It’s Google fast.

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0 reviews
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Business email without the bloat. sponsored

Which is more popular?

Based on our record, Google Compute Engine seems to be more popular. It has been mentioned 17 times since March 2021.

social mentions
0 vs 17
Kubernetes popularity
100% vs 0%
alternatives listed
11 vs 240+

Base details

Website, pricing, platforms and company facts side by side.

Raff
Google Compute Engine
Website rafftechnologies.com cloud.google.com
Pricing
Paid Free trial $3.49 / Monthly (1 vCPU - 1 GB Cloud VPS) Official pricing
—
Company Startup from the United States —
Listed in
Cloud Computing Cloud VPS Databases API Tools Kubernetes +2
Cloud Computing Cloud Infrastructure VPS Cloud Hosting +1

About Raff and Google Compute Engine

In their own words, as submitted to SaaSHub.

Raff
Google Compute Engine

Raff is a cloud infrastructure platform designed for developers, startups, businesses, and managed service providers that need reliable, straightforward cloud services. The platform offers Linux and Windows Server virtual machines powered by AMD EPYC processors, DDR5 memory, and NVMe SSD storage....

Read more about Raff

No description of Google Compute Engine yet.

Features and specs

What each product offers, as listed by its team.

Raff 12 features
Google Compute Engine 6 features
  • Cloud Virtual Machines
    Linux and Windows Server VMs
  • CPU & Storage
    AMD EPYC CPUs, DDR5 RAM, NVMe SSD
  • Managed Kubernetes
    Managed Kubernetes clusters
  • Managed Databases
    Managed database hosting
  • Object Storage
    S3-compatible object storage
  • Private Networking
    Private networks and VPC
  • Block Storage
    Expandable block storage volumes
  • Snapshots & Backups
    VM snapshots and backups
  • Load Balancers
    Application traffic distribution
  • Bandwidth
    Unmetered bandwidth
  • API & Automation
    API, CLI, and Terraform support
  • Technical Support
    24/7 live chat with engineers
  • Scalability
    Google Compute Engine offers robust scalability, allowing users to easily increase or decrease resources to match the workload demands. This ensures that businesses can handle growing traffic and data without unnecessary delays.
  • Performance
    GCE provides high-performance virtual machines with the ability to customize CPU, memory, and persistent disk configurations. The underlying infrastructure is optimized for high-speed operations.
  • Global Reach
    With data centers located around the world, GCE provides global reach and redundancy. This ensures low-latency access and high availability for applications and services.
  • Integration
    GCE integrates seamlessly with other Google Cloud services, such as Google Kubernetes Engine, BigQuery, and Cloud Storage. This ecosystem facilitates streamlined workflows and enhanced functionality.
  • Security
    GCE features multiple layers of security including encryption, identity management, and regular compliance audits. These measures ensure that data and applications are well-protected.
  • Cost-Effective
    With per-second billing and various pricing plans, GCE offers cost-effective solutions. Users only pay for what they use, which can lead to significant savings.

Possible disadvantages

  • Complexity
    For new users, the wide range of services and options within GCE can be overwhelming. It may require a steep learning curve to fully understand and leverage all available features.
  • Support Costs
    While GCE offers various support plans, premium support options can be expensive. Smaller businesses might find the cost prohibitive compared to their budget.
  • Vendor Lock-In
    Once services are deeply integrated with GCE, it may be difficult to migrate to another cloud provider. This could result in vendor lock-in and reduced flexibility for organizations.
  • Regional Availability
    Even though GCE has a broad global presence, not all services are available in every region. This can be a limitation for businesses that require specific features in certain geographic locations.
  • Network Egress Charges
    GCE charges for outbound data transfer, which can add up for applications serving large amounts of data across regions or the internet. Users need to monitor and manage egress costs carefully.

Analysis

An editorial look at what each product does well and who it suits.

Raff
Google Compute Engine

No analysis of Raff yet.

Overall verdict

  • Google Compute Engine is a strong choice for cloud computing needs, particularly if you're already using other Google Cloud services or require a scalable and reliable infrastructure.

Why this product is good

  • Google Compute Engine (GCE) is known for its robust infrastructure, scalability, and strong support for a variety of workloads. It offers customizable virtual machines with reliable security features and seamless integration with other Google Cloud services. Additionally, GCE benefits from Google's global network, providing high-performance and low-latency connectivity for users worldwide. Advanced features like Preemptible VMs and various machine types allow for cost-effective and flexible computing solutions.

Recommended for

  • Businesses looking for scalable and cost-effective cloud solutions.
  • Organizations utilizing other Google Cloud Platform services.
  • Developers who need a variety of machine types and advanced configuration options.
  • Enterprises requiring global reach and low-latency network performance.
  • Teams focusing on data-intensive applications or machine learning tasks.

Videos

Walkthroughs and reviews on video.

Raff 0 videos + Add
Google Compute Engine 1 video + Add

No Raff videos yet. You could help us improve this page by suggesting one.

Getting Started with Google Compute Engine

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Raff
Google Compute Engine
100% 100%
Kubernetes
0% 0%
4% 4%
Cloud Computing
96% 96%
100% 100%
API Tools
0% 0%
0% 0%
Cloud Infrastructure
100% 100%

Questions & Answers

As answered by people managing Raff and Google Compute Engine.

Which are the primary technologies used for building your product?

Raff's answer

Raff's cloud infrastructure uses AMD EPYC server processors, DDR5 memory, and NVMe SSD storage.

The platform supports Linux and Windows Server virtual machines, Kubernetes-based container orchestration, S3-compatible object storage, private networking, block storage, snapshots, backups, and load balancing.

Raff also provides API, CLI, and Terraform-based infrastructure management capabilities.

The specific internal software frameworks and virtualization technologies are not publicly detailed.

What makes your product unique?

Raff's answer

Raff combines straightforward cloud infrastructure with direct access to experienced engineers. Unlike platforms that rely heavily on automated support or lengthy ticket processes, Raff provides 24/7 technical assistance through live chat.

The platform brings Linux and Windows Server virtual machines, managed Kubernetes, databases, and storage services together in one environment. With transparent monthly pricing, modern infrastructure, and a focus on simplicity, Raff helps teams deploy and manage cloud workloads without unnecessary complexity.

Why should a person choose your product over its competitors?

Raff's answer

Raff is a practical choice for developers and businesses looking for reliable cloud infrastructure, predictable costs, and accessible technical support.

Its virtual machines use AMD EPYC processors, DDR5 memory, and NVMe SSD storage. Customers can deploy Linux or Windows Server workloads, configure private networks, and manage storage and other infrastructure services from a unified platform.

Raff also offers unmetered bandwidth, straightforward monthly billing, and 24/7 live chat support with engineers, making it especially suitable for small teams that need dependable infrastructure without managing unnecessary complexity.

How would you describe the primary audience of your product?

Raff's answer

Raff primarily serves software developers, startups, small and medium-sized businesses, SaaS companies, IT teams, and managed service providers (MSPs).

Typical customers use Raff for Linux and Windows Server virtual machines, application hosting, development and testing environments, Windows-based business applications, databases, Kubernetes workloads, and production infrastructure.

The platform is particularly suitable for teams that value predictable monthly costs, straightforward infrastructure management, and direct access to technical support.

What's the story behind your product?

Raff's answer

Raff was founded by engineers and technology entrepreneurs who wanted to make cloud infrastructure simpler and more accessible.

After working with complex infrastructure environments, the founders saw an opportunity to build a cloud platform that focuses on the essentials: reliable virtual machines, straightforward deployment, transparent pricing, and responsive human support.

Raff Technologies was established in the United States with a clear philosophy: Fast. Simple. Reliable.

Today, the platform continues to expand its infrastructure capabilities, helping developers and businesses deploy and manage their workloads with less operational complexity.

User comments

Share your experience with using Raff and Google Compute Engine. For example, how are they different and which one is better?

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Raff no reviews yet
Google Compute Engine no reviews yet

We have no reviews of Raff yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Raff 0 mentions
Google Compute Engine 17 mentions

Tracking Raff since Oct 2026.

  • Decoding high-bandwidth memory: A practical guide to GPU memory for fine-tuning AI models
    For maximum control: Spin up a Compute Engine instance with the latest NVIDIA H100 or A100 Tensor Core GPUs and take full control of your environment. - Source: dev.to / 10 months ago
  • AWS Free Tier Changes on July 15, 2025
    Https://cloud.google.com/products/compute ? You get one e2-micro VM instance free per month. - Source: Hacker News / over 1 year ago
  • Please bring neon db to GCP
    Surely you can run your own instances on some sort of "Compute" in GCP? https://cloud.google.com/products/compute. - Source: Hacker News / over 2 years ago

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